Optimization Of Closed-loop Supply Chain Pricing Model In B2C Environment

With the Internet to penetrate life,people and raise the level of consumption demand changing,all kinds of product market life cycle shorten constantly,waste products are also growing,the number and the people environmental protection consciousness gradually enhanced,driven by economic interests,enterprise development and optimize the supply chain has become enterprises to establish an effective means of competitive advantage.In closed loop supply chain management,the coordination pricing is one of its important functions,it relates to the product’s recycling,demand and system operation efficiency.However,the traditional game theory can only be systematically analysis the change of its supply chain some factors affect its profits,and cannot help companies to make pricing of the final decision,so we use the genetic algorithm,the simulation analysis was carried out on the model of supply chain.The genetic algorithm is a stochastic search algorithm based on natural selection of biology and natural genetic mechanism.It is especially suitable for processing the traditional search method is difficult to solve the problem of complex and nonlinear problems,and can be widely used in machine learning,combinatorial optimization,artificial intelligence,and other fields,is one of the key technologies of intelligent computing in the 21 st century.In view of this,this article on the basis of summarizing the related literature research,the closed-loop supply chain pricing decision model in B2 C environment,and use genetic algorithm to optimize the decision.The main research is as follows:(1)to the problem of closed-loop supply chain pricing model,established the same market decision model under the different decision-making: the decentralized decision-making model and centralized decision-making model and based on the contract coordination cost sharing contract under the decentralized decision-making model;(2)is proposed based on multi-objective genetic algorithm of closed-loop supply chain pricing scheme,the application of multi-objective genetic algorithm to optimize the closed-loop supply chain products pricing;(3)the simulation analysis was carried out on the decision-making model and optimal pricing schemes,quick know exactly how to determine the sales prices and recycling can maximize the manufacturers and retailers profit,for the enterprise pricing management decision provides a lot of help.The results of this paper show that the genetic algorithm has a direct effect on the pricing decision of the enterprise.The closed-loop supply chain project in B2 C environment selectsthe reasonable contract coordination mechanism to make the closed-loop supply chain system obtain the best economic benefits.